Hierarchical approach to weight equations in face tracking and recognition framework

Hisayoshi Chugan, Takeshi Shakunaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In a real-time face tracking and recognition system proposed by Oka and Shakunaga, the weighted average of registered persons is calculated after photometric adjustment, and the weights are used for person identification and shape inference. Although that method works well for 25 persons, the computational cost is high when the number of registered persons increases. To solve this problem, this paper shows a hierarchical approach for efficient weight estimation. Although the hierarchical method only approximates the solution of the original equations, the approximation can suppress noise effects in person discrimination. In experiments, first the validity of the proposed method was checked on static data. Especially, a simple experiment on Multi-PIE data showed that both the original method and the proposed method can perfectly discriminate 249 faces. In tracking and recognition, we showed robust and fast person discrimination by introducing three quality levels into the discrimination rules. Combining the discrimination rules with the hierarchical approach, we remarkably improved the discrimination performance for 100-person face tracking and recognition. In another experiment, a simple variation of this scheme worked for 10-person identification when 10 expressions were registered for each person exhibiting many expressional changes, including pose and photometric changes.

Original languageEnglish
Title of host publication2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013
DOIs
Publication statusPublished - Aug 20 2013
Event2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013 - Shanghai, China
Duration: Apr 22 2013Apr 26 2013

Publication series

Name2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013

Other

Other2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013
CountryChina
CityShanghai
Period4/22/134/26/13

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Chugan, H., & Shakunaga, T. (2013). Hierarchical approach to weight equations in face tracking and recognition framework. In 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013 [6553770] (2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013). https://doi.org/10.1109/FG.2013.6553770